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Language:
English
Total Size:
11.1 GB
Info Hash:
A1E6D4B17147253141A5F027001D54B5B2D8C927
Added By:
Added:
Oct. 28, 2023, 3:54 a.m.
Stats:
|
(Last updated: May 16, 2025, 10:31 p.m.)
| File | Size |
|---|---|
| [CourseClub.ME].url | 122 bytes |
| [FCS Forum].url | 133 bytes |
| [FreeCourseSite.com].url | 127 bytes |
| 1. Course Introduction.mp4 | 90.2 MB |
| 1. Course Introduction.srt | 15.7 KB |
| 1. Data Augmentation Chapter Overview.mp4 | 3.9 MB |
| 1. Data Augmentation Chapter Overview.srt | 1.5 KB |
| 2. Splitting Data into Test and Training Datasets.mp4 | 103.8 MB |
| 2. Splitting Data into Test and Training Datasets.srt | 14.3 KB |
| 2.1 datasets.zip.zip | 65.7 MB |
| 3. Train a Cats vs. Dogs Classifier.mp4 | 44.8 MB |
| 3. Train a Cats vs. Dogs Classifier.srt | 6.2 KB |
| 4. Boosting Accuracy with Data Augmentation.mp4 | 43.5 MB |
| 4. Boosting Accuracy with Data Augmentation.srt | 7.4 KB |
| 5. Types of Data Augmentation.mp4 | 52.5 MB |
| 5. Types of Data Augmentation.srt | 8.3 KB |
| 1. Introduction to the Confusion Matrix & Viewing Misclassifications.mp4 | 2.5 MB |
| 1. Introduction to the Confusion Matrix & Viewing Misclassifications.srt | 917 bytes |
| 2. Understanding the Confusion Matrix.mp4 | 93.0 MB |
| 2. Understanding the Confusion Matrix.srt | 16.5 KB |
| 3. Finding and Viewing Misclassified Data.mp4 | 44.4 MB |
| 3. Finding and Viewing Misclassified Data.srt | 8.5 KB |
| 1. Introduction to the types of Optimizers, Learning Rates & Callbacks.mp4 | 3.4 MB |
| 1. Introduction to the types of Optimizers, Learning Rates & Callbacks.srt | 1.0 KB |
| 2. Types Optimizers and Adaptive Learning Rate Methods.mp4 | 67.2 MB |
| 2. Types Optimizers and Adaptive Learning Rate Methods.srt | 11.0 KB |
| 3. Keras Callbacks and Checkpoint, Early Stopping and Adjust Learning Rates that Pl.mp4 | 51.1 MB |
| 3. Keras Callbacks and Checkpoint, Early Stopping and Adjust Learning Rates that Pl.srt | 9.4 KB |
| 4. Build a Fruit Classifier.mp4 | 92.9 MB |
| 4. Build a Fruit Classifier.srt | 11.6 KB |
| 4.1 fruits-360.tar.gz.gz | 376.0 MB |
| 1. Intro to Building LeNet, AlexNet in Keras & Understand Batch Normalization.mp4 | 2.8 MB |
| 1. Intro to Building LeNet, AlexNet in Keras & Understand Batch Normalization.srt | 860 bytes |
| 2. Build LeNet and test on MNIST.mp4 | 32.1 MB |
| 2. Build LeNet and test on MNIST.srt | 4.4 KB |
| 3. Build AlexNet and test on CIFAR10.mp4 | 42.2 MB |
| 3. Build AlexNet and test on CIFAR10.srt | 6.3 KB |
| 4. Batch Normalization.mp4 | 23.2 MB |
| 4. Batch Normalization.srt | 4.2 KB |
| 5. Build a Clothing & Apparel Classifier (Fashion MNIST).mp4 | 56.3 MB |
| 5. Build a Clothing & Apparel Classifier (Fashion MNIST).srt | 8.4 KB |
| 5.1 fashion_mnist.tar.gz.gz | 29.4 MB |
| 1. Chapter Introduction.mp4 | 2.9 MB |
| 1. Chapter Introduction.srt | 856 bytes |
| 2. ImageNet - Experimenting with pre-trained Models in Keras (VGG16, ResNet50, Mobi.mp4 | 82.1 MB |
| 2. ImageNet - Experimenting with pre-trained Models in Keras (VGG16, ResNet50, Mobi.srt | 12.1 KB |
| 3. Understanding VGG16 and VGG19.mp4 | 14.4 MB |
| 3. Understanding VGG16 and VGG19.srt | 2.4 KB |
| 4. Understanding ResNet50.mp4 | 9.8 MB |
| 4. Understanding ResNet50.srt | 2.1 KB |
| 5. Understanding InceptionV3.mp4 | 14.4 MB |
| 5. Understanding InceptionV3.srt | 3.5 KB |
| 1. Chapter Introduction.mp4 | 2.3 MB |
| 1. Chapter Introduction.srt | 813 bytes |
| 2. What is Transfer Learning and Fine Tuning.mp4 | 44.9 MB |
| 2. What is Transfer Learning and Fine Tuning.srt | 9.3 KB |
| 3. Build a Monkey Breed Classifier with MobileNet using Transfer Learning.mp4 | 135.3 MB |
| 3. Build a Monkey Breed Classifier with MobileNet using Transfer Learning.srt | 17.6 KB |
| 3.1 17_flowers.tar.gz.gz | 57.5 MB |
| 4. Build a Flower Classifier with VGG16 using Transfer Learning.mp4 | 82.0 MB |
| 4. Build a Flower Classifier with VGG16 using Transfer Learning.srt | 10.6 KB |
| 4.1 monkey_breed.zip.zip | 546.7 MB |
| 1. Chapter Introduction.mp4 | 1.9 MB |
| 1. Chapter Introduction.srt | 636 bytes |
| 2. Introducing LittleVGG.mp4 | 11.5 MB |
| 2. Introducing LittleVGG.srt | 2.0 KB |
| 3. Simpsons Character Recognition using LittleVGG.mp4 | 99.6 MB |
| 3. Simpsons Character Recognition using LittleVGG.srt | 12.6 KB |
| 3.1 simpsons.tar.gz.gz | 549.5 MB |
| 1. Chapter Introduction.mp4 | 2.1 MB |
| 1. Chapter Introduction.srt | 659 bytes |
| 2. Dying ReLU Problem and Introduction to Leaky ReLU, ELU and PReLUs.mp4 | 32.3 MB |
| 2. Dying ReLU Problem and Introduction to Leaky ReLU, ELU and PReLUs.srt | 6.7 KB |
| 3. Advanced Initializations.mp4 | 15.0 MB |
| 3. Advanced Initializations.srt | 3.6 KB |
| 1. Chapter Introduction.mp4 | 4.6 MB |
| 1. Chapter Introduction.srt | 1.3 KB |
| 2. Build an Emotion, Facial Expression Detector.mp4 | 202.0 MB |
| 2. Build an Emotion, Facial Expression Detector.srt | 26.1 KB |
| 2.1 fer2013.zip.zip | 143.3 MB |
| 3. Build EmotionAgeGender Recognition in our Deep Surveillance Monitor.mp4 | 260.8 MB |
| 3. Build EmotionAgeGender Recognition in our Deep Surveillance Monitor.srt | 31.4 KB |
| 3.1 age-gender-estimation.tar.gz.gz | 552.2 MB |
| 1. Chapter Overview on Image Segmentation & Medical Imaging in U-Net.mp4 | 2.9 MB |
| 1. Chapter Overview on Image Segmentation & Medical Imaging in U-Net.srt | 891 bytes |
| 2. What is Segmentation And Applications in Medical Imaging.mp4 | 29.6 MB |
| 2. What is Segmentation And Applications in Medical Imaging.srt | 5.6 KB |
| 3. U-Net Image Segmentation with CNNs.mp4 | 30.5 MB |
| 3. U-Net Image Segmentation with CNNs.srt | 5.0 KB |
| 4. The Intersection over Union (IoU) Metric.mp4 | 43.0 MB |
| 4. The Intersection over Union (IoU) Metric.srt | 6.3 KB |
| 5. Finding the Nuclei in Divergent Images.mp4 | 171.1 MB |
| 5. Finding the Nuclei in Divergent Images.srt | 20.9 KB |
| 5.1 U_NET.zip.zip | 90.0 MB |
| 1. Introduction to Computer Vision & Deep Learning.mp4 | 3.1 MB |
| 1. Introduction to Computer Vision & Deep Learning.srt | 863 bytes |
| 2. What is Computer Vision and What Makes it Hard.mp4 | 60.1 MB |
| 2. What is Computer Vision and What Makes it Hard.srt | 8.6 KB |
| 3. What are Images.mp4 | 58.8 MB |
| 3. What are Images.srt | 10.7 KB |
| 4. Intro to OpenCV, OpenVINO™ & their Limitations.mp4 | 41.4 MB |
| 4. Intro to OpenCV, OpenVINO™ & their Limitations.srt | 9.2 KB |
| 1. Chapter Introduction.mp4 | 3.4 MB |
| 1. Chapter Introduction.srt | 1.1 KB |
| 2. Object Detection Introduction - Sliding Windows with HOGs.mp4 | 51.6 MB |
| 2. Object Detection Introduction - Sliding Windows with HOGs.srt | 7.7 KB |
| 3. R-CNN, Fast R-CNN, Faster R-CNN and Mask R-CNN.mp4 | 135.9 MB |
| 3. R-CNN, Fast R-CNN, Faster R-CNN and Mask R-CNN.srt | 21.0 KB |
| 4. Single Shot Detectors (SSDs).mp4 | 12.4 MB |
| 4. Single Shot Detectors (SSDs).srt | 2.7 KB |
| 5. YOLO to YOLOv3.mp4 | 33.1 MB |
| 5. YOLO to YOLOv3.srt | 5.3 KB |
| 1. Chapter Introduction.mp4 | 2.4 MB |
| 1. Chapter Introduction.srt | 765 bytes |
| 2. TFOD API Install and Setup.mp4 | 47.6 MB |
| 2. TFOD API Install and Setup.srt | 6.6 KB |
| 2.1 Download the code (for those not using the Virtual Machine).html | 108 bytes |
| 3. Experiment with a ResNet SSD on images, webcam and videos.mp4 | 83.6 MB |
| 3. Experiment with a ResNet SSD on images, webcam and videos.srt | 10.1 KB |
| 4. How to Train a TFOD Model.mp4 | 74.2 MB |
| 4. How to Train a TFOD Model.srt | 11.9 KB |
| 1. Chapter Introduction.mp4 | 2.5 MB |
| 1. Chapter Introduction.srt | 658 bytes |
| 2. Setting up and install Yolo DarkNet and DarkFlow.mp4 | 51.7 MB |
| 2. Setting up and install Yolo DarkNet and DarkFlow.srt | 7.6 KB |
| 2.1 Guide to the MacOS Install.html | 124 bytes |
| 2.2 Download the YOLO files (if not using the VM).html | 108 bytes |
| 3. Experiment with YOLO on still images, webcam and videos.mp4 | 104.5 MB |
| 3. Experiment with YOLO on still images, webcam and videos.srt | 12.1 KB |
| 4. Build your own YOLO Object Detector - Detecting London Underground Signs.mp4 | 159.1 MB |
| 4. Build your own YOLO Object Detector - Detecting London Underground Signs.srt | 22.3 KB |
| 4.1 LondonUnderground_train.tar.gz.gz | 5.1 MB |
| 1. Chapter Introduction.mp4 | 1.5 MB |
| 1. Chapter Introduction.srt | 496 bytes |
| 2. DeepDream – How AI Generated Art All Started.mp4 | 84.0 MB |
| 2. DeepDream – How AI Generated Art All Started.srt | 11.4 KB |
| 3. Neural Style Transfer.mp4 | 124.7 MB |
| 3. Neural Style Transfer.srt | 17.3 KB |
| 1. Generative Adverserial Neural Networks Chapter Overview.mp4 | 4.6 MB |
| 1. Generative Adverserial Neural Networks Chapter Overview.srt | 1.2 KB |
| 2. Introduction To GANs.mp4 | 85.3 MB |
| 2. Introduction To GANs.srt | 16.6 KB |
| 3. Mathematics of GANs.mp4 | 27.2 MB |
| 3. Mathematics of GANs.srt | 5.2 KB |
| 4. Implementing GANs in Keras.mp4 | 96.3 MB |
| 4. Implementing GANs in Keras.srt | 15.6 KB |
| 5. Face Aging GAN.mp4 | 46.8 MB |
| 5. Face Aging GAN.srt | 7.5 KB |
| 5.1 GenerativeNetworks.tar.gz.gz | 117.0 MB |
| 1. Basic Face Recognition using LittleVGG CNN.html | 997 bytes |
| 1.1 25. Face Recognition All Notebooks.tar.gz.gz | 120.7 MB |
| 2. Face Matching with VGGFace.html | 1.1 KB |
| 2.1 vgg_face_weights.h5.tar.gz.gz | 520.7 MB |
| 3. Face Recognition using WebCam & Identifying Friends TV Show Characters in Video.html | 441 bytes |
| 1. Chapter Introduction.mp4 | 3.2 MB |
| 1. Chapter Introduction.srt | 1.0 KB |
| 2. Alternative Frameworks PyTorch, MXNet, Caffe, Theano & OpenVINO.mp4 | 23.0 MB |
| 2. Alternative Frameworks PyTorch, MXNet, Caffe, Theano & OpenVINO.srt | 4.6 KB |
| 3. Popular APIs Google, Microsoft, ClarifAI Amazon Rekognition and others.mp4 | 8.6 MB |
| 3. Popular APIs Google, Microsoft, ClarifAI Amazon Rekognition and others.srt | 1.6 KB |
| 4. Popular Computer Vision Conferences & Finding Datasets.mp4 | 19.6 MB |
| 4. Popular Computer Vision Conferences & Finding Datasets.srt | 3.5 KB |
| 5. Building a Deep Learning Machine vs. Cloud GPUs.mp4 | 28.2 MB |
| 5. Building a Deep Learning Machine vs. Cloud GPUs.srt | 5.6 KB |
| 1. Step 1 - Creating a Credit Card Number Dataset.html | 12.3 KB |
| 1.1 Credit-Card Number Identification.zip.zip | 128.4 KB |
| 2. Step 2 - Training Our Model.html | 4.7 KB |
| 3. Step 3 - Extracting A Credit Card from the Background.html | 8.0 KB |
| 4. Step 4 - Use our Model to Identify the Digits & Display it onto our Credit Card.html | 4.1 KB |
| 1. Why use Cloud GPUs and How to Setup a PaperSpace Gradient Notebook.html | 15.0 KB |
| 2. Train a AlexNet on PaperSpace.html | 6.9 KB |
| 2.1 AlexNet CIFAR10.zip.zip | 29.6 KB |
| 1. Install and Run Flask.html | 5.0 KB |
| 1.1 CVApiWebAPp.tar.gz.gz | 7.7 MB |
| 2. Running Your Computer Vision Web App on Flask Locally.html | 6.7 KB |
| 3. Running Your Computer Vision API.html | 4.8 KB |
| 4. Setting Up An AWS Account.html | 1.7 KB |
| 5. Setting Up Your AWS EC2 Instance & Installing Keras, TensorFlow, OpenCV & Flask.html | 6.9 KB |
| 6. Changing your EC2 Security Group.html | 1.6 KB |
| 7. Using FileZilla to transfer files to your EC2 Instance.html | 4.7 KB |
| 8. Running your CV Web App on EC2.html | 2.4 KB |
| 9. Running your CV API on EC2.html | 3.1 KB |
| 1. Setting up your Deep Learning Virtual Machine (Download Code, VM & Slides here!).mp4 | 77.4 MB |
| 1. Setting up your Deep Learning Virtual Machine (Download Code, VM & Slides here!).srt | 14.4 KB |
| 1.1 Download Your Deep Learning Virtual Machine HERE.html | 143 bytes |
| 1.2 DeepLearningCV2.tar.gz.gz | 643.2 MB |
| 1.3 Master Deep Learning Computer Vision Slides.pdf.pdf | 56.5 MB |
| 1.4 MIRROR - Download Your Deep Learning Virtual Machine HERE.html | 108 bytes |
| 1.5 Slides - Deep-Learning-Computer-Vision.pdf.pdf | 56.5 MB |
| 2. Optional - Troubleshooting Guide for VM Setup & for resolving some MacOS Issues.html | 6.7 KB |
| 3. Optional - Manual Setup of Ubuntu Virtual Machine.html | 3.5 KB |
| 4. Optional - Setting up a shared drive with your Host OS.html | 2.9 KB |
| 1. Get Started! Handwriting Recognition, Simple Object Classification OpenCV Demo.mp4 | 7.5 MB |
| 1. Get Started! Handwriting Recognition, Simple Object Classification OpenCV Demo.srt | 900 bytes |
| 2. Experiment with a Handwriting Classifier.mp4 | 67.3 MB |
| 2. Experiment with a Handwriting Classifier.srt | 8.2 KB |
| 3. Experiment with a Image Classifier.mp4 | 27.3 MB |
| 3. Experiment with a Image Classifier.srt | 4.3 KB |
| 4. OpenCV Demo – Live Sketch with Webcam.mp4 | 41.2 MB |
| 4. OpenCV Demo – Live Sketch with Webcam.srt | 5.5 KB |
| 1. Setup OpenCV.mp4 | 13.9 MB |
| 1. Setup OpenCV.srt | 2.2 KB |
| 1.1 MasterOpenCV.tar.gz.gz | 47.1 MB |
| 10. Transformations, Affine And Non-Affine - The Many Ways We Can Change Images.mp4 | 11.0 MB |
| 10. Transformations, Affine And Non-Affine - The Many Ways We Can Change Images.srt | 3.4 KB |
| 11. Image Translations - Moving Images Up, Down. Left And Right.mp4 | 18.5 MB |
| 11. Image Translations - Moving Images Up, Down. Left And Right.srt | 4.0 KB |
| 12. Rotations - How To Spin Your Image Around And Do Horizontal Flipping.mp4 | 23.1 MB |
| 12. Rotations - How To Spin Your Image Around And Do Horizontal Flipping.srt | 4.6 KB |
| 13. Scaling, Re-sizing and Interpolations - Understand How Re-Sizing Affects Quality.mp4 | 36.6 MB |
| 13. Scaling, Re-sizing and Interpolations - Understand How Re-Sizing Affects Quality.srt | 6.6 KB |
| 14. Image Pyramids - Another Way of Re-Sizing.mp4 | 14.2 MB |
| 14. Image Pyramids - Another Way of Re-Sizing.srt | 2.8 KB |
| 15. Cropping - Cut Out The Image The Regions You Want or Don't Want.mp4 | 24.1 MB |
| 15. Cropping - Cut Out The Image The Regions You Want or Don't Want.srt | 3.9 KB |
| 16. Arithmetic Operations - Brightening and Darkening Images.mp4 | 31.1 MB |
| 16. Arithmetic Operations - Brightening and Darkening Images.srt | 16.5 MB |
| 17. Bitwise Operations - How Image Masking Works.mp4 | 28.9 MB |
| 17. Bitwise Operations - How Image Masking Works.srt | 5.7 KB |
| 18. Blurring - The Many Ways We Can Blur Images & Why It's Important.mp4 | 70.2 MB |
| 18. Blurring - The Many Ways We Can Blur Images & Why It's Important.srt | 11.0 KB |
| 19. Sharpening - Reverse Your Images Blurs.mp4 | 17.3 MB |
| 19. Sharpening - Reverse Your Images Blurs.srt | 2.7 KB |
| 2. What are Images.mp4 | 16.0 MB |
| 2. What are Images.srt | 3.3 KB |
| 20. Thresholding (Binarization) - Making Certain Images Areas Black or White.mp4 | 64.8 MB |
| 20. Thresholding (Binarization) - Making Certain Images Areas Black or White.srt | 12.2 KB |
| 21. Dilation, Erosion, OpeningClosing - Importance of ThickeningThinning Lines.mp4 | 42.0 MB |
| 21. Dilation, Erosion, OpeningClosing - Importance of ThickeningThinning Lines.srt | 7.2 KB |
| 22. Edge Detection using Image Gradients & Canny Edge Detection.mp4 | 45.7 MB |
| 22. Edge Detection using Image Gradients & Canny Edge Detection.srt | 7.3 KB |
| 23. Perspective & Affine Transforms - Take An Off Angle Shot & Make It Look Top Down.mp4 | 31.7 MB |
| 23. Perspective & Affine Transforms - Take An Off Angle Shot & Make It Look Top Down.srt | 5.6 KB |
| 24. Mini Project 1 - Live Sketch App - Turn your Webcam Feed Into A Pencil Drawing.mp4 | 43.8 MB |
| 24. Mini Project 1 - Live Sketch App - Turn your Webcam Feed Into A Pencil Drawing.srt | 7.5 KB |
| 25. Segmentation and Contours - Extract Defined Shapes In Your Image.mp4 | 77.4 MB |
| 25. Segmentation and Contours - Extract Defined Shapes In Your Image.srt | 16.7 KB |
| 26. Sorting Contours - Sort Those Shapes By Size.mp4 | 106.2 MB |
| 26. Sorting Contours - Sort Those Shapes By Size.srt | 19.9 KB |
| 27. Approximating Contours & Finding Their Convex Hull - Clean Up Messy Contours.mp4 | 47.0 MB |
| 27. Approximating Contours & Finding Their Convex Hull - Clean Up Messy Contours.srt | 36.1 MB |
| 28. Matching Contour Shapes - Match Shapes In Images Even When Distorted.mp4 | 52.9 MB |
| 28. Matching Contour Shapes - Match Shapes In Images Even When Distorted.srt | 7.9 KB |
| 29. Mini Project 2 - Identify Shapes (Square, Rectangle, Circle, Triangle & Stars).mp4 | 47.3 MB |
| 29. Mini Project 2 - Identify Shapes (Square, Rectangle, Circle, Triangle & Stars).srt | 8.3 KB |
| 3. How are Images Formed.mp4 | 21.3 MB |
| 3. How are Images Formed.srt | 45.8 MB |
| 30. Line Detection - Detect Straight Lines E.g. The Lines On A Sudoku Game.mp4 | 65.7 MB |
| 30. Line Detection - Detect Straight Lines E.g. The Lines On A Sudoku Game.srt | 9.9 KB |
| 31. Circle Detection.html | 1.6 KB |
| 32. Blob Detection - Detect The Center of Flowers.mp4 | 32.2 MB |
| 32. Blob Detection - Detect The Center of Flowers.srt | 5.2 KB |
| 33. Mini Project 3 - Counting Circles and Ellipses.mp4 | 51.9 MB |
| 33. Mini Project 3 - Counting Circles and Ellipses.srt | 9.0 KB |
| 34. Object Detection Overview.mp4 | 30.8 MB |
| 34. Object Detection Overview.srt | 4.9 KB |
| 35. Mini Project # 4 - Finding Waldo (Quickly Find A Specific Pattern In An Image).mp4 | 25.9 MB |
| 35. Mini Project # 4 - Finding Waldo (Quickly Find A Specific Pattern In An Image).srt | 4.4 KB |
| 36. Feature Description Theory - How We Digitally Represent Objects.mp4 | 35.3 MB |
| 36. Feature Description Theory - How We Digitally Represent Objects.srt | 7.4 KB |
| 37. Finding Corners - Why Corners In Images Are Important to Object Detection.mp4 | 52.1 MB |
| 37. Finding Corners - Why Corners In Images Are Important to Object Detection.srt | 10.5 KB |
| 38. Histogram of Oriented Gradients - Another Novel Way Of Representing Images.mp4 | 82.0 MB |
| 38. Histogram of Oriented Gradients - Another Novel Way Of Representing Images.srt | 12.0 KB |
| 39. HAAR Cascade Classifiers - Learn How Classifiers Work And Why They're Amazing.mp4 | 43.1 MB |
| 39. HAAR Cascade Classifiers - Learn How Classifiers Work And Why They're Amazing.srt | 7.8 KB |
| 4. Storing Images on Computers.mp4 | 42.3 MB |
| 4. Storing Images on Computers.srt | 6.8 KB |
| 40. Face and Eye Detection - Detect Human Faces and Eyes In Any Image.mp4 | 89.2 MB |
| 40. Face and Eye Detection - Detect Human Faces and Eyes In Any Image.srt | 16.6 KB |
| 40.1 Lecture 6.2 and 6.3.tar.gz.gz | 271.5 KB |
| 41. Mini Project 6 - Car and Pedestrian Detection in Videos.mp4 | 56.4 MB |
| 41. Mini Project 6 - Car and Pedestrian Detection in Videos.srt | 10.5 KB |
| 41.1 Lecture 6.2 and 6.3.tar.gz.gz | 271.5 KB |
| 5. Getting Started with OpenCV - A Brief OpenCV Intro.mp4 | 74.9 MB |
| 5. Getting Started with OpenCV - A Brief OpenCV Intro.srt | 12.3 KB |
| 6. Grayscaling - Converting Color Images To Shades of Gray.mp4 | 15.0 MB |
| 6. Grayscaling - Converting Color Images To Shades of Gray.srt | 2.8 KB |
| 7. Understanding Color Spaces - The Many Ways Color Images Are Stored Digitally.mp4 | 106.2 MB |
| 7. Understanding Color Spaces - The Many Ways Color Images Are Stored Digitally.srt | 16.9 KB |
| 8. Histogram representation of Images - Visualizing the Components of Images.mp4 | 42.4 MB |
| 8. Histogram representation of Images - Visualizing the Components of Images.srt | 6.2 KB |
| 9. Creating Images & Drawing on Images - Make Squares, Circles, Polygons & Add Text.mp4 | 31.0 MB |
| 9. Creating Images & Drawing on Images - Make Squares, Circles, Polygons & Add Text.srt | 5.5 KB |
| 1. Neural Networks Chapter Overview.mp4 | 7.8 MB |
| 1. Neural Networks Chapter Overview.srt | 2.1 KB |
| 10. Epochs, Iterations and Batch Sizes.mp4 | 26.1 MB |
| 10. Epochs, Iterations and Batch Sizes.srt | 4.8 KB |
| 11. Measuring Performance and the Confusion Matrix.mp4 | 52.1 MB |
| 11. Measuring Performance and the Confusion Matrix.srt | 9.7 KB |
| 12. Review and Best Practices.mp4 | 27.1 MB |
| 12. Review and Best Practices.srt | 6.1 KB |
| 2. Machine Learning Overview.mp4 | 52.3 MB |
| 2. Machine Learning Overview.srt | 11.3 KB |
| 3. Neural Networks Explained.mp4 | 23.3 MB |
| 3. Neural Networks Explained.srt | 5.5 KB |
| 4. Forward Propagation.mp4 | 63.3 MB |
| 4. Forward Propagation.srt | 11.5 KB |
| 5. Activation Functions.mp4 | 59.6 MB |
| 5. Activation Functions.srt | 11.8 KB |
| 6. Training Part 1 – Loss Functions.mp4 | 58.4 MB |
| 6. Training Part 1 – Loss Functions.srt | 11.9 KB |
| 7. Training Part 2 – Backpropagation and Gradient Descent.mp4 | 72.6 MB |
| 7. Training Part 2 – Backpropagation and Gradient Descent.srt | 13.2 KB |
| 8. Backpropagation & Learning Rates – A Worked Example.mp4 | 99.8 MB |
| 8. Backpropagation & Learning Rates – A Worked Example.srt | 17.9 KB |
| 9. Regularization, Overfitting, Generalization and Test Datasets.mp4 | 118.4 MB |
| 9. Regularization, Overfitting, Generalization and Test Datasets.srt | 21.2 KB |
| 1. Convolutional Neural Networks Chapter Overview.mp4 | 5.1 MB |
| 1. Convolutional Neural Networks Chapter Overview.srt | 1.5 KB |
| 2. Convolutional Neural Networks Introduction.mp4 | 36.7 MB |
| 2. Convolutional Neural Networks Introduction.srt | 7.0 KB |
| 3. Convolutions & Image Features.mp4 | 102.4 MB |
| 3. Convolutions & Image Features.srt | 17.4 KB |
| 4. Depth, Stride and Padding.mp4 | 46.5 MB |
| 4. Depth, Stride and Padding.srt | 9.1 KB |
| 5. ReLU.mp4 | 10.9 MB |
| 5. ReLU.srt | 2.4 KB |
| 6. Pooling.mp4 | 28.8 MB |
| 6. Pooling.srt | 6.4 KB |
| 7. The Fully Connected Layer.mp4 | 13.8 MB |
| 7. The Fully Connected Layer.srt | 3.2 KB |
| 8. Training CNNs.mp4 | 27.2 MB |
| 8. Training CNNs.srt | 4.2 KB |
| 9. Designing Your Own CNN.mp4 | 24.2 MB |
| 9. Designing Your Own CNN.srt | 5.3 KB |
| 1. Building a CNN in Keras.mp4 | 5.6 MB |
| 1. Building a CNN in Keras.srt | 1.4 KB |
| 10. Saving and Loading Your Model.mp4 | 29.5 MB |
| 10. Saving and Loading Your Model.srt | 4.6 KB |
| 11. Displaying Your Model Visually.mp4 | 25.4 MB |
| 11. Displaying Your Model Visually.srt | 4.3 KB |
| 12. Building a Simple Image Classifier using CIFAR10.mp4 | 74.3 MB |
| 12. Building a Simple Image Classifier using CIFAR10.srt | 11.2 KB |
| 2. Introduction to Keras & Tensorflow.mp4 | 73.7 MB |
| 2. Introduction to Keras & Tensorflow.srt | 17.8 KB |
| 3. Building a Handwriting Recognition CNN.mp4 | 11.1 MB |
| 3. Building a Handwriting Recognition CNN.srt | 2.6 KB |
| 4. Loading Our Data.mp4 | 52.9 MB |
| 4. Loading Our Data.srt | 8.6 KB |
| 5. Getting our data in ‘Shape’.mp4 | 33.8 MB |
| 5. Getting our data in ‘Shape’.srt | 5.9 KB |
| 6. Hot One Encoding.mp4 | 18.2 MB |
| 6. Hot One Encoding.srt | 4.1 KB |
| 7. Building & Compiling Our Model.mp4 | 36.2 MB |
| 7. Building & Compiling Our Model.srt | 5.5 KB |
| 8. Training Our Classifier.mp4 | 40.8 MB |
| 8. Training Our Classifier.srt | 7.0 KB |
| 9. Plotting Loss and Accuracy Charts.mp4 | 25.6 MB |
| 9. Plotting Loss and Accuracy Charts.srt | 4.6 KB |
| 1. Introduction to Visualizing What CNNs 'see' & Filter Visualizations.mp4 | 8.3 MB |
| 1. Introduction to Visualizing What CNNs 'see' & Filter Visualizations.srt | 1.5 KB |
| 2. Saliency Maps & Class Activation Maps.mp4 | 64.2 MB |
| 2. Saliency Maps & Class Activation Maps.srt | 9.2 KB |
| 3. Saliency Maps & Class Activation Maps.mp4 | 80.8 MB |
| 3. Saliency Maps & Class Activation Maps.srt | 11.3 KB |
| 4. Filter Visualizations.mp4 | 89.5 MB |
| 4. Filter Visualizations.srt | 13.5 KB |
| 5. Heat Map Visualizations of Class Activations.mp4 | 34.2 MB |
| 5. Heat Map Visualizations of Class Activations.srt | 5.0 KB |
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NOTE
SOURCE: Deep Learning Computer VisionTM CNN OpenCV YOLO SSD GANs Udemy Course
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